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Author Rupšys, P.
Source United States Department of Energy Office of Scientific and Technical Information
Content type Text
Language English
Subject Keyword CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS ♦ BARK ♦ COMPARATIVE EVALUATIONS ♦ DENSITY FUNCTIONAL METHOD ♦ DIFFERENTIAL EQUATIONS ♦ DISTRIBUTION ♦ FORECASTING ♦ HEIGHT ♦ LITHUANIA ♦ M CODES ♦ MAXIMUM-LIKELIHOOD FIT ♦ MULTIVARIATE ANALYSIS ♦ PINES ♦ PROBABILITY DENSITY FUNCTIONS ♦ STOCHASTIC PROCESSES
Abstract A system of stochastic differential equations (SDE) with mixed-effects parameters and multivariate normal copula density function were used to develop tree height model for Scots pine trees in Lithuania. A two-step maximum likelihood parameter estimation method is used and computational guidelines are given. After fitting the conditional probability density functions to outside bark diameter at breast height, and total tree height, a bivariate normal copula distribution model was constructed. Predictions from the mixed-effects parameters SDE tree height model calculated during this research were compared to the regression tree height equations. The results are implemented in the symbolic computational language MAPLE.
ISSN 0094243X
Educational Use Research
Learning Resource Type Article
Publisher Date 2015-10-28
Publisher Place United States
Volume Number 1684
Issue Number 1


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